Minimum qualifications:

　　Bachelor's degree in Computer Science or equivalent practical experience.

　　6 years of experience in virtualization or cloud native architectures in a customer-facing or support role. Experience with Big Data technologies, Analytic Warehousing technologies, data processing technologies, performance and scalability optimizations.

　　Experience delivering technical presentations and live demonstrations in an enterprise business environment.

　　Preferred qualifications: Experience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.

　　Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.

　　Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g., Extract, transform, load/Extract, Load, and Transform), data migrations, data visualization tools, and data governance on cloud native architectures.

　　Knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market, engaged dynamics, and customer buying behavior.

　　About the job

　　When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

　　In this role, you will work with Sales teams as an enterprise data analytics subject matter expert. You will help prospective customers and partners understand Google Cloud, explaining technical features, helping customers design architectures, engage in proof-of-concepts, and provide technical closure for roadblocks related to our analytics and business intelligence portfolio.

　　Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

　　The US base salary range for this full-time position is $139,000-$213,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

　　Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

　　Responsibilities

　　Support local Sales teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle. Identify business and technical requirements, conduct full technical discovery, and design client solutions to meet gathered requirements. Lead technical projects, including activities such as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. Prepare and deliver product messaging to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers, and Request for Information (RFI)response documents.

　　Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel for meetings, technical reviews, and onsite delivery activities as needed.